Cover Image

A Physics-Guided Probabilistic Surrogate Modeling Framework for Digital Twins of Underwater Radiated Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Deo, Indu Kant, Venkateshwaran, Akash, Jaiman, Rajeev K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computational Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MUTE-DSS: A Digital-Twin-Based Decision Support System for Minimizing Underwater Radiated Noise in Ship Voyage Planning
by: Venkateshwaran, Akash, et al.
Published: (2025)

Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net
by: Deo, Indu Kant, et al.
Published: (2024)

Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks
by: Deo, Indu Kant, et al.
Published: (2024)

Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition
by: Deo, Indu Kant, et al.
Published: (2025)

A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations
by: Gao, Rui, et al.
Published: (2022)

A multi-objective optimization framework for reducing the impact of ship noise on marine mammals
by: Venkateshwaran, Akash, et al.
Published: (2024)

HeatGen: A Guided Diffusion Framework for Multiphysics Heat Sink Design Optimization
by: Keramati, Hadi, et al.
Published: (2025)

A Reward-Directed Diffusion Framework for Generative Design Optimization
by: Keramati, Hadi, et al.
Published: (2025)

Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
by: Deo, Indu Kant, et al.
Published: (2024)

An Efficient and Accurate Surrogate Modeling of Flapping Dynamics in Inverted Elastic Foils using Hypergraph Neural Networks
by: Parekh, Aarshana R., et al.
Published: (2025)

Predicting fluid-structure interaction with graph neural networks
by: Gao, Rui, et al.
Published: (2022)

A Phase Field Formulation of Frictional Sliding Contact for 3D Fully Eulerian Fluid Structure Interactions
by: Rath, Biswajeet, et al.
Published: (2025)

Hybrid Quantum Classical Surrogate for Real Time Inverse Finite Element Modeling in Digital Twins
by: Alavi, Azadeh, et al.
Published: (2025)

A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
by: Gao, Rui, et al.
Published: (2025)

A 3D phase-field based Eulerian variational framework for multiphase fluid-structure interaction with contact dynamics
by: Mao, Xiaoyu, et al.
Published: (2024)

PHASE: Physics-Integrated, Heterogeneity-Aware Surrogates for Scientific Simulations
by: Gao, Dawei, et al.
Published: (2025)

Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation
by: Varagnolo, Antonio, et al.
Published: (2025)

Digital Twin Supervised Reinforcement Learning Framework for Autonomous Underwater Navigation
by: Mari, Zamirddine, et al.
Published: (2025)

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions
by: Maltba, Tyler E., et al.
Published: (2025)

FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
by: Huang, Qiusheng, et al.
Published: (2025)

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
by: Kinch, Brooks, et al.
Published: (2025)

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis
by: Anagnostopoulos, Sokratis J., et al.
Published: (2026)

Probabilistic Forecasting of Radiation Exposure for Spaceflight
by: Gurav, Rutuja, et al.
Published: (2024)

Surrogate Modeling for Neutron Transport: A Neural Operator Approach
by: Sahadath, Md Hossain, et al.
Published: (2026)

Quantum Noise Tomography with Physics-Informed Neural Networks
by: Sulc, Antonin
Published: (2025)

Predicting Flow-Induced Vibration in Isolated and Tandem Cylinders Using Hypergraph Neural Networks
by: Heydari, Shayan, et al.
Published: (2025)

Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text
by: Lorsung, Cooper, et al.
Published: (2024)

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications
by: Logakannan, Krishna Prasath, et al.
Published: (2025)

HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
by: Song, Jialin, et al.
Published: (2025)

Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates
by: Choudhary, Prashant Kumar, et al.
Published: (2025)

Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
by: Barwey, Shivam, et al.
Published: (2023)

Surrogate Quantum Circuit Design for the Lattice Boltzmann Collision Operator
by: Lăcătuş, Monica, et al.
Published: (2025)

Probabilistic Emulation of the Community Radiative Transfer Model Using Machine Learning
by: Howard, Lucas, et al.
Published: (2025)

Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets
by: Propp, Adrienne M., et al.
Published: (2025)

Adaptive Uncertainty-Guided Surrogates for Efficient phase field Modeling of Dendritic Solidification
by: Garate-Perez, Eider, et al.
Published: (2026)

Physics-informed AI Accelerated Retention Analysis of Ferroelectric Vertical NAND: From Day-Scale TCAD to Second-Scale Surrogate Model
by: Jeong, Gyujun, et al.
Published: (2026)

A Benchmark Dataset for Machine Learning Surrogates of Pore-Scale CO2-Water Interaction
by: Abdellatif, Alhasan, et al.
Published: (2025)

UQ of 2D Slab Burner DNS: Surrogates, Uncertainty Propagation, and Parameter Calibration
by: Georgalis, Georgios, et al.
Published: (2024)

Physics-Informed Mixture Models and Surrogate Models for Precision Additive Manufacturing
by: Basterrech, Sebastian, et al.
Published: (2025)

Toward AI-Driven Digital Twins for Metropolitan Floods: A Conditional Latent Dynamics Network Surrogate of the Shallow Water Equations
by: Si, Phillip, et al.
Published: (2026)